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Stream processing lets developers view, analyze, and combine data from a wide variety of sources.

Latest stream processing articles

Article Building resilient event-driven architectures with Apache Kafka
Nov 27, 2024
Federico Valeri +1

This article explores use cases for the dynamic quorum configuration in Kafka...

Article Building resilient event-driven architectures with Apache Kafka

Deploy a fully functional streams for Apache Kafka cluster in an automated...

Article Featured image: event-driven distributed serverless workflow

This solution demonstrates an implementation to build a platform that...

Article Building resilient event-driven architectures with Apache Kafka

Open source is at the heart of everything Red Hat works on. Learn how Red Hat...